Generative AI in Finance
Ends soon! Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.
Ask Coursera
13 reviews
Recommended experience
13 reviews
Recommended experience
What you'll learn
Apply generative AI models (GANs, VAEs, LLMs) to financial forecasting, risk assessment, and fraud detection in real-world scenarios.
Design effective prompts to enhance AI-driven financial analysis, reporting, and decision-making for investment and compliance.
Implement generative AI solutions for credit scoring, regulatory compliance, and automated financial audits.
Leverage AI-driven automation and anomaly detection to optimize portfolio management and financial services.
Skills you'll gain
Tools you'll learn
Details to know
See how employees at top companies are mastering in-demand skills
There are 2 modules in this course
The Generative AI in Finance course offers a practical, in-depth introduction to how generative AI is reshaping the financial sector. Designed for finance professionals, analysts, risk officers, AI engineers, and business leaders, this course helps you apply advanced AI models to real-world financial challenges—no prior AI experience required.
In Module 1, you will build a solid grounding in generative AI concepts and their financial applications. This module demystifies what generative AI is, introduces core models such as GANs, VAEs, and LLMs, and shows how AI processes both structured and unstructured financial data to drive insights, automate investment decisions, and support portfolio optimization. You’ll also gain hands-on experience with prompt engineering and explore automation scenarios relevant to real-world financial tasks. Module 2 covers advanced applications of generative AI in financial services, focusing on risk assessment, fraud detection, credit evaluation, and compliance. You’ll learn how AI models predict market volatility, uncover fraud patterns using anomaly detection, and automate creditworthiness assessments. The module also highlights AI’s growing role in AML, KYC, financial reporting, and audits, while addressing ethical and regulatory concerns such as fairness, explainability, and transparency. Top skills you’ll gain: 1. Generative AI (GANs, VAEs, LLMs) for forecasting, risk, and fraud detection 2. Prompt engineering for financial analysis and decision-making 3. AI solutions for credit scoring, compliance, and automation 4. Anomaly detection, portfolio optimization, and regulatory compliance This course equips you with the practical skills and strategic insights needed to leverage generative AI for smarter, more efficient financial operations. Whether you’re upskilling, pivoting to fintech, or leading digital transformation, you’ll be ready to apply AI confidently and responsibly in modern finance. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.
Gain a solid grounding in generative AI concepts and their financial applications. This module demystifies generative AI, introducing key models like GANs, VAEs, and LLMs, with a focus on their adoption in finance. You’ll learn how AI processes structured and unstructured financial data to derive insights, automate investment decisions, and support portfolio optimization. Hands-on lessons cover prompt engineering techniques and real-world automation scenarios, giving you practical skills to interact with AI systems for financial tasks.
What's included
12 videos1 reading5 assignments1 plugin
12 videos•Total 53 minutes
- Introduction to the Course•2 minutes
- Meet your Instructor•1 minute
- What is Generative AI? (Overview and Key Concepts)•5 minutes
- Types of Generative AI Models Used in Finance•5 minutes
- Real-World Applications of AI in Finance•6 minutes
- AI in Financial Data Analysis•5 minutes
- AI-Generated Investment Insights•5 minutes
- Portfolio Optimization with Generative AI (AI-Driven Asset Allocation)•5 minutes
- Time Series Forecasting with Generative AI (Using Macroeconomic Data)•5 minutes
- Growing Importance of AI in Fraud Detection•4 minutes
- Introduction to Prompt Engineering for Finance•6 minutes
- Transforming Financial Automation with AI•4 minutes
1 reading•Total 15 minutes
- Read more about Applications, Innovations, and Future Directions in Generative AI in Finance•15 minutes
5 assignments•Total 90 minutes
- Practice Quiz: Introduction to Generative AI in Finance•15 minutes
- Practice Quiz: AI-Powered Financial Analysis & Decision Making•15 minutes
- Practice Quiz: AI for Advanced Forecasting & Risk Assessment•15 minutes
- Practice Quiz: Prompt Engineering for Financial Applications•15 minutes
- Graded Quiz: Foundations of Generative AI in Finance•30 minutes
1 plugin•Total 5 minutes
- Quick Course Check-In•5 minutes
Dive deeper into high-stakes applications of generative AI in financial services, focusing on risk assessment, fraud detection, credit evaluation, and compliance. Learn how AI models predict market volatility, uncover fraud patterns with anomaly detection, and automate creditworthiness assessments. This module also highlights AI’s expanding role in AML, KYC, financial reporting, and audits. Ethical and regulatory concerns—such as fairness, explainability, and transparency—are addressed, preparing you to apply AI responsibly in real-world finance.
What's included
11 videos1 reading4 assignments
11 videos•Total 55 minutes
- AI for Risk Prediction in Financial Markets•6 minutes
- AI-Driven Fraud Detection & Prevention•5 minutes
- AI-Based Credit Scoring & Loan Risk Evaluation•5 minutes
- Enhancing Financial Compliance with AI•5 minutes
- Ethical Challenges in AI-Driven Risk Management•6 minutes
- Transforming Financial Reporting with AI•4 minutes
- AI-Powered Audits & Regulatory Compliance•6 minutes
- Addressing Ethical and Regulatory Issues in AI Applications•6 minutes
- Emerging Trends in AI-Driven Financial Innovation•6 minutes
- Understanding Large Language Models (LLMs) and Their Impact on Finance•6 minutes
- Course Closure - Gratitude !•1 minute
1 reading•Total 15 minutes
- Read more about Artificial Intelligence in Financial Risk Management: Predictive Models, Fraud Detection & Forensic Insights•15 minutes
4 assignments•Total 75 minutes
- Practice Quiz: AI in Risk Assessment and Fraud Detection•15 minutes
- Practice Quiz: AI-Powered Financial Reporting and Compliance•15 minutes
- Practice Quiz: The Future of Generative AI in Finance•15 minutes
- Graded Quiz: Advanced Applications and Risk Management with Generative AI•30 minutes
Instructor
Offered by
Why people choose Coursera for their career
Frequently asked questions
Yes, this course is designed for finance professionals, analysts, and anyone interested in learning how AI is applied in finance, regardless of prior AI experience.
You’ll learn to apply generative AI models for forecasting, risk assessment, fraud detection, and compliance, and design prompts for AI-driven financial analysis and reporting.
Absolutely. The course uses real-world case studies and hands-on scenarios to show how AI is transforming investment strategies, credit scoring, and regulatory reporting.
More questions
Financial aid available,
